位置：成果数据库 > 期刊 > 期刊详情页
一元线性回归检验理论的一种证明
  • ISSN号：1672-1454
  • 期刊名称：《大学数学》
  • 时间：0
  • 分类：O212.1[理学—概率论与数理统计;理学—数学]
  • 作者机构：[1]安徽大学数学科学学院,合肥230039
  • 相关基金：国家自然科学基金资助项目（10571001）;安徽大学创新团队基金资助课题
作者： 王蕊[1], 陈桂景[1]
关键词： 正交变换, 回归, 假设检验, orthogonal transformation, regression, hypothesis test
中文摘要：

利用正交变换法，给出一元线性回归假设检验定理的一种直接证明．这种证明方法可供在数理统计教学中作参考．

英文摘要：

A immediate proof for the hypothesis test theorems in the unary linear regression model has been given by orthogonal transformation. The method of the proof can be applied in the mathematical statistics teaching.

同期刊论文项目
若干复杂的统计推断问题的理论及其应用
期刊论文 63 会议论文 10
同项目期刊论文
随机变量序列的大数定律及常返性定律
Life prediction under random censorship
The Bahadur representation for sample quantiles under negatively associated sequence
指数分布中矩估计序贯置信区间
方差分量模型中回归系数的线性Minimax估计
Tukey两步同时置信区间
广义回归系数的混合估计的相对效率
线性过程的大数定律与中心极限定理
相协随机变量部分和几乎处处收敛性和强大数定律
多维广义线性模型拟似然估计的渐近正态性
非参数混合效应模型中的删除诊断
随机删失下刻度参数的单调经验贝叶斯检验
随机变量序列部分和的几乎必然收敛性
正态分布均值变点估计的收敛速度研究
Error analysis of weighted integration for anisotropic Besov Spaces
各向异性Besov 空间上逼近的复杂性
Empirical Bayes test for the life parameter in the exponential distribution
Asymptotically optimal Empirical Bayes decision.
随机删失下经验Bayes估计的渐近最优性
Kernel principal component analysis for large scale data set
Asymptotic normality of maximum quasi-likelihood estimators in generalized linear models with fixed
A general approach rate to the strong law of large numbers.
一类随机变量序列部分和的强大数定律
Local temporal common spatial patterns for robust Single-Trial EEG classification
A three-outcome design for randomized comparative phase II clinical trials
Fixed design semiparametric regression for linear time series
The uniform approximation of the tail probability of the weighted sums of subexponential random vari
Bayes Empirical Bayes estimation for scale parameter
Empirical likelihood in a semi-parametric model for missing response data.
Large deviations for some dependent sequences
Locality-preserved maximum information projection.
Face recognition using probabilistic two-dimensional principal component analysis and its mixture mo
Empirical likelihood for parametric model under imputation for missing date
混合序列部分和的强大数定律
Central limit theorem of random quadratics forms involving random matrices.
关于弱收敛非负随机变量序列的逆矩
广义线形模型中的变量选择
一个矩的不等式的证明及应用
一类随机变量序列部分和的大偏差
A Note on the Optimal Smoothing in Partial Linear Models with Penalized Least Squares Estimator
多档次试验结果下的一种罐子模型
Monotone Empirical Bayes Test for the exponential distribution
Asymptotic performance of reduced-rank linear receivers with principal component filter.
Comment on: “Two-dimensional locality preserving projections (2DLPP) with its application to palmpri
Probabilistic two-dimensional principal component analysis and Its mixture model for face recognitio
An unified EM algorithm for PCA and KPCA.
Ruin problems in risk models with dependent rates of interest
MSE superiority of Bayes and empirical Bayes estimators in two generalized seemingly unrelated regr
On extending the Brunk-Prokhorov Strong law of large numbers for martingale differences
Approximation of infinitely differentiable multivariate functions is not strongly tractable
Central limit theorem for signal- to-interference ratio of reduced rank linear receiver
Strong law of large numbers and growth rate for a class of random variable sequences
Asymptotic distribution of partitioning estimation and modified partitioning estimation for regressi
随机删失下经验贝叶斯估计的渐近最优性
渐近最优的经验贝叶斯决策
指数分布中寿命参数的经验贝叶斯检验
刻度参数的贝叶斯经验贝叶斯估计
各向异性Besov函数的最优积分误差
随机变量序列的大数定律及常返性定理
ASYMPTOTIC NORMALITY OF MAXIMUM QUASI-LIKELIHOOD ESTIMATORS IN GENERALIZED LINEAR MODELS WITH FIXED DESIGN
期刊信息
  • 《大学数学》
  • 主管单位:国家教育部
  • 主办单位:教育部数学与统计学教学指导委员会 高等教育出版社 合肥工业大学
  • 主编：徐宗本
  • 地址：合肥市屯溪路193号合肥工业大学屯溪校区320信箱
  • 邮编：230009
  • 邮箱：hfdxsx@163.com
  • 电话：0551-62901476
  • 国际标准刊号：ISSN：1672-1454
  • 国内统一刊号：ISSN：34-1221/O1
  • 邮发代号:
  • 获奖情况:
  • 国内外数据库收录:
  • 被引量:7540